Linear and Generalized Linear Mixed Models and Their Applications (Hardcover, 2nd ed. 2021)

This book covers two major classes of mixed effects models, linear mixed models and generalized linear mixed models. It presents an up-to-date account of theory and methods in analysis of these models as well as their applications in various fields. The book offers a systematic approach to inference about non-Gaussian linear mixed models. Furthermore, it includes recently developed methods, such as mixed model diagnostics, mixed model selection, and jackknife method in the context of mixed models. The book is aimed at students, researchers and other practitioners who are interested in using mixed models for statistical data analysis.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Springer Series in Statistics
Release date:	March 2021
First published:	2021
Authors:	Jiming Jiang • Thuan Nguyen
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	343
Edition:	2nd ed. 2021
ISBN-13:	978-1-07-161281-1
Categories:	Books > Science & Mathematics > Mathematics > Numerical analysis Books > Science & Mathematics > Mathematics > Probability & statistics Books > Medicine > General issues > Public health & preventive medicine > General Books > Science & Mathematics > Mathematics > Applied mathematics > General
LSN:	1-07-161281-6
Barcode:	9781071612811

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